I am a 5th year PhD student in the School of Computer science at the Hebrew university of Jerusalem, where I am advised by Katrina Ligett. During the summers of 2023 and 2024 I interned at Apple, where I was mentored by Vitaly Feldman. I was honored to be part of the 2022 cohort of Apple Scholars in AI/ML.

Prior to my PhD, I earned a BSc in Physics, Math, and Computer Science and a MSc in Computer Science (advised by Katrina Ligett), both at the Hebrew University. At the same time, I worked as an algorithms engineer and later an algorithms team manager at Mobileye under the guidance of Gal Alkon.

Research interest

My work lies at the intersection of data privacy and generalizable adaptive data analysis, which I perceive as two special cases of a larger goal; distilling the truths of the population from a sample set, discarding details unique to its elements.

I am currently focused on bridging the gap between theory and practice, moving beyond worst-case to instance-specific analysis. Concretely, I am focused on the various ways sampling contributes to the stability of data analysis.